Sky Route AI Ndege Isina Mutyairi Yekutakura Zvinhu by Xilin Tang

Sky Route AI Ndege Isina Mutyairi Yekutakura Zvinhu by Xilin Tang is a highly esteemed winner of the very prestigious 2025 Mubairo weBronzi we A' Design Award in Dhizaini yeRamangwana Competition Category.

BronziRamangwana· 2025

Sky Route AI Ndege Isina Mutyairi Yekutakura Zvinhu

by Xilin Tang

Client: Osrbot

Mubairo weBronzi we A' Design Award Winner in Ramangwana Category

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Verified Award Winner

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View at A' Design Award Press Release Award Badge

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The Design

About Sky Route AI Ndege Isina Mutyairi Yekutakura Zvinhu

Sky Route AI ndeye ndege isina mutyairi (drone) yakagadzirirwa kutakura zvinhu zvakasiyana-siyana kusvika panzvimbo dzakasiyana mukati merwendo rumwe. Mapaketi akawanda anotakurwa mukubhururuka kamwe chete, ichitungamirirwa ne artificial intelligence inogadzira nzira dzekufamba zvakachenjera uye kuona zvipingamupinyi munguva chaiyo kuburikidza ne LiDAR uye camera modules. Muviri wayo wakagadzirwa nemakomposite ye carbon fiber, akavezwa kuburikidza ne CNC cutting uye resin infusion, uye maoko anopeta anoita kuti ibhururuke mumigwagwa yakamanikana yemuguta. Michina ye brushless motors inobvumira kubhururuka kwenguva inosvika maminetsi 45 pane chaji imwe chete, ikakwanisa kutakura mutoro unosvika 3 kg. Chinangwa ndechekudzikisira mari inodyiwa, kupfupikisa nguva dzekumirira, uye kuderedza utsi hunosvibisa mhepo.

The Recognition

About the Mubairo weBronzi we A' Design Award

Mubairo weBronzi we A' Design Award wakahwinwa ne Sky Route AI Ndege Isina Mutyairi Yekutakura Zvinhu, rukudzo rwakakwirira kwazvo runopiwa kumadhizaini akasiyana anozivikanwa nekugadzira, njere nekungwara. Vakunda veBronzi mabasa ane unyanzvi hwakakwana uye kugadzira kunoshamisa kunosimbisa ruzivo rukuru, pfungwa nehunyanzvi hwevagadziri vawo. Sky Route AI Ndege Isina Mutyairi Yekutakura Zvinhu inotarisirwa kuva chinhu chinokudzwa kwazvo, chinoremekedzwa uye chinodiwa, chine hunyanzvi hunoonekwa uye zvitsva. Dhizaini iyi yakahwina Mubairo weBronzi we A' Design Award inosanganisa maitiro akanakisa muhunyanzvi, sayenzi, dhizaini netekinoroji uye yakasiyana nekutarisisa zvidiki. Sky Route AI Ndege Isina Mutyairi Yekutakura Zvinhu inogutsa zvinodiwa zvakanaka, inobata zvishuvo, inokwezva manzwiro uye inomutsa kuda kuziva.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: This drone redefines last mile logistics by combining advanced AI with a carbon fiber body for repeated multi stop operations. Optimized to reduce flight time and emissions, it integrates real time obstacle detection and dynamic route planning. Its efficient multi takeoff capability lowers operational costs and ensures swift deliveries, distinguishing it from conventional single route drones. Additionally, advanced AI simulations accelerate development cycles for consistent and safe performance.
Dimensions & Packaging: Overall dimensions: 800 mm wide x 800 mm deep x 400 mm high, total weight approximately 3.5 kg. The carbon fiber chassis ensures a payload capacity of up to 3 kg. Brushless motors enable up to 45 minutes of flight time per charge. Integrated LiDAR and multi camera arrays provide real time obstacle detection, while modular battery packs facilitate efficient multi stop operations in various urban settings.
Tags: Drone, multi stop delivery, AI powered, carbon fiber, last mile logistics, eco friendly, cost efficient, advanced route planning, LiDAR, real time obstacle detection
Production Technology: Constructed from carbon fiber composites to maximize flight efficiency, the drone is realized through CNC cutting and resin infusion processes. AI driven simulation tools guide iterative refinements, optimizing aerodynamic performance and structural integrity. LiDAR and camera modules integrate seamlessly within modular housings, while brushless motors and a robust flight controller ensure high precision and reliability during multi stop missions.
Design Challenge: Integrating multi stop delivery AI with real time obstacle detection proved the toughest hurdle. Historically, drones had limited payload capacity; socially, public acceptance demanded robust safety features. Externally, evolving regulations demanded compliance, while scarce data and advanced materials constrained prototyping. Overcoming these obstacles shaped a reliable, efficient system.
Research: We conducted applied research aiming to cut delivery costs and boost reliability. Using iterative prototyping and AI simulations, we collected flight and route data with sensor arrays. Test flights with volunteers showed multi package deliveries reduced wait times by 30%. This insight informed safer navigation, driving business efficiency, easing urban congestion, and inspiring new drone design standards.
Inspiration: Inspired by the global need for more flexible, cost efficient, and eco friendly logistics, we harnessed advanced AI simulations to refine multi stop capabilities in a carbon fiber drone. Rising labor costs and congested roads highlighted the urgency to innovate last mile delivery, so our research focused on optimizing flight performance, payload handling, and dynamic route planning.
Project Duration: The project started in October 2024 in Auburn, Alabama, USA, and ended in January 2025 in Auburn, Alabama, USA.
Operation Flow: SkyRoute AI is operated via a user friendly app or controller. After takeoff, it can fold or unfold its arms to carry multiple packages, navigate narrow urban spaces, and revert to a stable form. With real time obstacle detection and dynamic route updates, it delivers multiple packages to different locations in a single run. This flexible, efficient approach reduces wait times, lowers costs, and outperforms traditional drones in speed and reliability.
Image Credits: Image #1: Designer XilinTang, Auburn, 2024
Image #2: Designer XilinTang, Auburn, 2024
Image #3: Designer XilinTang, Auburn, 2024
Image #4: Designer XilinTang, Auburn, 2024
Image #5: Designer XilinTang, Auburn, 2024